https://scholars.lib.ntu.edu.tw/handle/123456789/612367
標題: | An empirical study of intelligent expert systems on forecasting of fashion color trend | 作者: | Yu Y. Hui C.-L. TSAN MING CHOI |
關鍵字: | ARIMA; Artificial neural network; Color trend; Fashion design; Forecasting; Grey model | 公開日期: | 2012 | 卷: | 39 | 期: | 4 | 起(迄)頁: | 4383-4389 | 來源出版物: | Expert Systems with Applications | 摘要: | Forecasting future color trend is a crucially important and challenging task in the fashion industry including design, production and sales. In particular, the trend of fashion color is highly volatile. Without advanced methods, it is very hard to make fashion color trend forecasting with reasonably high accuracy, and it is a handicap for development of the intelligent expert systems in fashion industry. As a result, many prior works have employed traditional regression models like ARIMA or intelligent models such as artificial neural network (ANN) and grey model (GM) for conducting color trend forecasting. However, the reported accuracies of these forecasting methods vary a lot, and there are controversies in the literature on these models' performances. As a result, in this paper, we systematically compare the performances of ARIMA, ANN and GM models and their extended family methods. With real data analysis, our results show that the ANN family models, especially for Extreme Learning Machine (ELM) with Grey Relational Analysis (GRA), outperform the other models for forecasting fashion color trend. ? 2011 Elsevier Ltd. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-82255192195&doi=10.1016%2fj.eswa.2011.09.153&partnerID=40&md5=7c355201cf89ada5658b310f22de4d58 https://scholars.lib.ntu.edu.tw/handle/123456789/612367 |
DOI: | 10.1016/j.eswa.2011.09.153 | SDG/關鍵字: | ARIMA; Artificial Neural Network; Empirical studies; Extreme learning machine; Fashion design; Fashion industry; Forecasting methods; GM models; Grey Model; Grey models; Grey relational analysis; Intelligent expert systems; Intelligent models; Real data analysis; Regression model; Trend forecasting; Color; Forecasting; Neural networks; Regression analysis; Expert systems |
顯示於: | 工商管理學系 |
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